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> Historical Publications > Historical Publications Manufacturing Establishments reports, data tables and questionnaires Released: May 2008 The Manufacturing EnergyConsumption Survey (MECS) is a periodic national sample survey devoted to measuring energyconsumption and related issues in the manufacturing sector. The MECS collects data on energyconsumption, purchases and expenditures, and related issues and behaviors. Links to previously published documents are given below. Beginning in 1998, reports were only issued electronically. Additional electronic releases are available on the MECS Homepage. The basic unit of data collection for this survey is the manufacturing establishment. Industries are selected according to definitions found in the North American Industry Classification System (NAICS), which replace the earlier Standard Industrial Classification (SIC) system.

The domestic steel industry, being energy-use intensive, requires between 4 and 5 percent of total annual domestic energyconsumption. More than two-thirds of total steel industryenergy, however, is derived from coal. During the post-World War II...

China's IndustrialEnergyConsumption Trends and Impacts of the Top-1000 China's IndustrialEnergyConsumption Trends and Impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects Title China's IndustrialEnergyConsumption Trends and Impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects Publication Type Journal Year of Publication 2012 Authors Ke, Jing, Lynn K. Price, Stephanie Ohshita, David Fridley, Nina Zheng Khanna, Nan Zhou, and Mark D. Levine Keywords energy saving, energy trends, industrialenergy efficiency, top-1000 Abstract This study analyzes China's industrialenergyconsumption trends from 1996 to 2010 with a focus on the impact of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects. From 1996 to 2010, China's industrialenergyconsumption increased by 134%, even as the industrial economic energy intensity decreased by 46%. Decomposition analysis shows that the production effect was the dominant cause of the rapid growth in industrialenergyconsumption, while the efficiency effect was the major factor slowing the growth of industrialenergyconsumption. The structural effect had a relatively small and fluctuating influence. Analysis shows the strong association of industrialenergyconsumption with the growth of China's economy and changing energy policies. An assessment of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects indicates that the economic energy intensity of major energy-intensive industrial sub-sectors, as well as the physical energy intensity of major energy-intensive industrial products, decreased significantly during China's 11th Five Year Plan (FYP) period (2006-2010). This study also shows the importance and challenge of realizing structural change toward less energy-intensive activities in China during the 12th FYP period (2011-2015).

China’s Largest Industrial Enterprises Through the Top-1000Top-1000 Energy- Consuming Enterprises Program: Reducing EnergyConsumption of the 1000 Largest Industrial Enterprises in ChinaTop-1000 Energy-Consuming Enterprises Program : Reducing EnergyConsumption of the 1000 Largest Industrial Enterprises in China

Energy management is one of the most important aspects of mill operation. Mills compete chiefly on the basis of price and product quality. Because pulp and paper production consumes tremendous amount of energy, the mill that can reduce the energy consumed per ton of production gains a competitive edge. The opportunities for savings range from investment in new equipment to simply increasing the efficiency of existing operations. The authors wanted to learn what mills are doing to reduce energyconsumption in 1994. He also wanted to know if energy management at the mill is as important today as it was a decade ago. The results presented here are based on the 105 responses from a survey.

In 2005, the Chinese government announced an ambitious goal of reducing energyconsumption per unit of gross domestic product (GDP) by 20% between 2005 and 2010. One of the key initiatives for realizing this goal is the Top-1000 Energy-Consuming Enterprises program. The energyconsumption of these 1000 enterprises accounted for 33% of national and 47% of industrialenergy usage in 2004. Under the Top-1000 program, 2010 energyconsumption targets were determined for each enterprise. The objective of this article is to evaluate the program design and initial results, given limited information and data, to understand the possible implications of its success in terms of energy and carbon dioxide emission reductions and to recommend future program modifications based on international experience with similar target-setting agreement programs. Even though the Top-1000 program was designed and implemented rapidly, it appears that – depending upon the GDP growth rate – it could contribute to somewhere between approximately 10% and 25% of the savings required to support China's efforts to meet a 20% reduction in energy use per unit of GDP by 2010.

The energy balances published by the International Energy Agency (IEA) are one of the most valuable sources of energy statistics covering world energy supply and demand. However, some issues arise when these data are analyzed or used directly. Even when industrialenergyconsumption alone is examined, at least three types of issues are encountered: missing data, large amounts of misallocated data in some countries, and numerous unrealistic outliers in the time-series variations. When we deal with only a few regions, we can look at data one by one and modify them. In this case, we are going to overcome these issues with a systematic method because the data covers world including more than a hundred regions. This paper proposes a data reconciliation method to treat these issues, and describes its application to world industrialenergyconsumption. As a result of its application, we found that the three issues mentioned above seemed to be overcome. The degree of the reconciliation by region showed that OECD countries' degree tends to be smaller than those of non-OECD countries. However, not all of the OECD countries have low values and some countries, such as the United States, have high values.

We investigated the relationship between electrical power consumption per capita and GDP per capita in 130 countries using the data reported by World Bank. We found that an electrical power consumption per capita...

Sample records for industry energy consumption from the National Library of Energy Beta (NLEBeta)

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ENERGYCONSUMPTION CHARACTERISTICS OF LIGHT MANUFACTURING FACll..ITIES IN THE NORTHERN PLAINS: A study of detailed data from 10 industrialenergy audits conducted in 1993. Michael Twedt Graduate Research Assistant IEOPIEADC South Dakota... profiles and common energy conservation opportunities. A statistical breakdown of energyconsumption of 10 light manufacturing facilities by process, equipment type, and end use is provided. Common energy optimization procedures are also summarized...

-bed combustors and medium Btu gasifiers to enable use of coal for gas turbines. Motors. Another partly developed technology which may have a major impact on industrialenergy is motor controls. Although small motors are often remarkably inefficient, most...-bed combustors and medium Btu gasifiers to enable use of coal for gas turbines. Motors. Another partly developed technology which may have a major impact on industrialenergy is motor controls. Although small motors are often remarkably inefficient, most...

This report provides estimates on energyconsumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing EnergyConsumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. 1 The manufacturing sector is composed of establishments classified in Standard Industrial Classification 20 through 39 of the U.S. economy as defined 2 by the Office of Management and Budget. The manufacturing sector is a part of the industrial sector, which also includes mining; construction; and agriculture, forestry, and fishing. The EIA also conducts energyconsumption surveys in the residential, commercial buildings, and residential transportation sectors: the Residential Energy 3 Consumption Survey (RECS); the Commercial Buildings EnergyConsumption Survey (CBECS); and, until recently, the Residential Transportation EnergyConsumption Survey (RTECS).

Abstract As the installed capacity of wind generation in Ireland continues to increase towards an overall goal of 40% of electricity from renewable sources by 2020, it is inevitable that the frequency of wind curtailment occurrences will increase. Using this otherwise discarded energy by strategically increasing demand at times that would otherwise require curtailment has the potential to reduce the installed capacity of wind required to meet the national 2020 target. Considering two industrial electricity consumers, this study analyses the potential for the implementation of price based demand response by an industrial consumer to increase their proportional use of wind generated electricity by shifting their demand towards times of low prices. Results indicate that while curtailing during peak price times has little or no benefit in terms of wind energyconsumption, demand shifting towards low price times is likely to increase a consumer’s consumption of wind generation by approximately 5.8% for every 10% saved on the consumer’s average unit price of electricity.

A24. A24. Total Inputs of Energy for Heat, Power, and Electricity Generation by Program Sponsorship, Industry Group, Selected Industries, and Type of Energy- Management Program, 1994: Part 1 (Estimates in Trillion Btu) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 285 SIC Management Any Type of Sponsored Self-Sponsored Sponsored Sponsored Code Industry Group and Industry Program Sponsorship Involvement Involvement Involvement Involvement a No Energy Electric Utility Government Third Party Type of Sponsorship of Management Programs (1992 through 1994) RSE Row Factors Federal, State, or Local RSE Column Factors: 0.7 1.1 1.0 0.7 1.9 0.9 20-39 ALL INDUSTRY GROUPS Participation in One or More of the Following Types of Programs . .

This report provides estimates on energyconsumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing EnergyConsumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

Efficiency Efficiency Energy Efficiency energyconsumption savings households, buildings, industry & vehicles The Energy Efficiency Page reflects EIA's information on energy efficiency and related information. This site provides an in depth discussion of the concept of energy efficiency and how it is measured, measurement, summaries of formal user meetings on energy efficiency data and measurement, as well as analysis of greenhouse gas emissions as related to energy use and energy efficiency. At the site you will find links to other sources of information, and via a listserv all interested analysts can share ideas, data, and ask for assistance on methodological problems associated with energy use, energy efficiency, and greenhouse gas issues. Contact: Behjat.Hojjati@eia.doe.gov

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and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. iv... This analysis uses electricity and natural gas energyconsumption and area data of manufacturing plants available in the U.S. Department of Energy’s national Industrial Assessment Center (IAC) database. The data there come from Industrial Assessment Centers...

Chemical Industry Analysis Brief Change Topic: Steel | Chemical Chemical Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | EnergyConsumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities | Fuel Switching Capacity Introduction The chemical industries are a cornerstone of the U.S. economy, converting raw materials such as oil, natural gas, air, water, metals, and minerals into thousands of various products. Chemicals are key materials for producing an extensive assortment of consumer goods. They are also crucial materials in creating many resources that are essential inputs to the numerous industries and sectors of the U.S. economy.1 The manufacturing sector is classified by the North American Industry Classification System (NAICS) of which the chemicals sub-sector is NAICS

Steel Industry Analysis Brief Change Topic: Steel | Chemical Steel Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | EnergyConsumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities Introduction The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of construction, transportation, manufacturing, and a variety of consumer products. It is the backbone of bridges, skyscrapers, railroads, automobiles, and appliances. Most grades of steel used today - particularly high-strength steels that are lighter and more versatile - were not available a decade ago.1 The U.S. steel industry (including iron production) relies significantly on natural gas and coal coke and breeze for fuel, and is one of the largest

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energyconsumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energyconsumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energyconsumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energyconsumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

Manufacturing Manufacturing Sector Overview 1991-1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 xiii Why Do We Investigate Energy Use in the Manufacturing Sector? What Data Do EIA Use To Investigate Energy Use in the Manufacturing Sector? In 1991, output in the manufactur- ing sector fell as the country went into a recession. After 1991, however, output increased as the country slowly came out of the recession. Between 1991 and 1994, manufacturers, especially manu- facturers of durable goods such as steel and glass, experienced strong growth. The industrial production index for durable goods during the period increased by 21 percent. Real gross domestic product for durable goods increased a corre- sponding 16 percent. The growth of nondurables was not as strong-- the production index increased by only 9 percent during this time period.

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Survey Results: Total EnergyConsumption, Survey Results: Total EnergyConsumption, Expenditures, and Intensities (2005) Dataset Summary Description The Residential EnergyConsumption Survey (RECS) is a national survey that collects residential energy-related data. The 2005 survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the U.S. Data were obtained from residential energy suppliers for each unit in the sample to produce the Consumption & Expenditures data. The Consumption & Expenditures and Intensities data is divided into two parts: Part 1 provides energyconsumption and expenditures by census region, population density, climate zone, type of housing unit, year of construction and ownership status; Part 2 provides the same data according to household size, income category, race and age. The next update to the RECS survey (2009 data) will be available in 2011.

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Historical and projected world energyconsumption information is displayed. The information is presented by region and fuel type, and includes a world total. Measurements are in quadrillion Btu. Sources of the information contained in the table are: (1) history--Energy Information Administration (EIA), International Energy Annual 1992, DOE/EIA-0219(92); (2) projections--EIA, World Energy Projections System, 1994. Country amounts include an adjustment to account for electricity trade. Regions or country groups are shown as follows: (1) Organization for Economic Cooperation and Development (OECD), US (not including US territories), which are included in other (ECD), Canada, Japan, OECD Europe, United Kingdom, France, Germany, Italy, Netherlands, other Europe, and other OECD; (2) Eurasia--China, former Soviet Union, eastern Europe; (3) rest of world--Organization of Petroleum Exporting Countries (OPEC) and other countries not included in any other group. Fuel types include oil, natural gas, coal, nuclear, and other. Other includes hydroelectricity, geothermal, solar, biomass, wind, and other renewable sources.

The effects of energy policies in China on energyconsumption and GDP1 Ming-Jie Lu, C.-Y. Cynthia consumption and GDP for several industries. We not only analyze the effects of multiple types of energy impact different kinds of energyconsumption and the GDP of different kinds of industries using

The MIT community has embarked on an initiative to the reduce energyconsumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and ...

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Industrial Demand Module Industrial Demand Module The NEMS Industrial Demand Module estimates energyconsumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The Industrial Demand Module forecasts energyconsumption at the four Census region levels; energyconsumption at the Census Division level is allocated

2(94) 2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. ii Energy Information Administration/Manufacturing Consumption of Energy 1994 Contacts This publication was prepared by the Energy Information Administration (EIA) under the general direction of W. Calvin

Exhausted energyconsumption becomes a world-wide issue nowadays. Computing contributes a large portion of energyconsumption. The concept of green computing has been popularized. Along with the rapid development of China, energy issue becomes more and ... Keywords: energy/electricity consumption, IT industry, household computers, energy efficiency, green computing

EnergyConsumptionEnergyConsumption Transportation EnergyConsumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the surveys can be divided into two broad groups: supply surveys, directed to the suppliers and marketers of specific energy sources, that measure the quantities of specific fuels produced for and/or supplied to the market; and consumption surveys, which gather information on the types of energy used by consumer groups along with the consumer characteristics that are associated with energy use. In the transportation sector, EIA's core consumption survey was the Residential Transportation EnergyConsumption Survey. RTECS belongs to the consumption group because it collects information directly from the consumer, the household. For roughly a decade, EIA fielded the RTECS--data were first collected in 1983. This survey, fielded for the last time in 1994, was a triennial survey of energy use and expenditures, vehicle miles-traveled (VMT), and vehicle characteristics for household vehicles. For the 1994 survey, a national sample of more than 3,000 households that own or use some 5,500 vehicles provided data.

IndustrialIndustrial International Energy Outlook 2010 Industrial Sector EnergyConsumption Worldwide industrialenergyconsumption increases by 42 percent, or an average of 1.3 percent per year, from 2007 to 2035 in the IEO2010 Reference case. Ninety-five percent of the growth occurs in non-OECD nations. Overview The world's industries make up a diverse sector that includes manufacturing, agriculture, mining, and construction. Industrialenergy demand varies across regions and countries, depending on the level and mix of economic activity and technological development, among other factors. Energy is consumed in the industrial sector for a wide range of activities, such as processing and assembly, space conditioning, and lighting. Industrialenergy use also includes natural gas and petroleum products used as feedstocks to produce non-energy products, such as plastics. In aggregate, the industrial sector uses more energy than any other end-use sector, consuming about one-half of the world's total delivered energy.

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World EnergyConsumption World EnergyConsumption picture of a printer Printer Friendly Version (PDF) This report presents international energy projections through 2020, prepared by the Energy Information Administration, including outlooks for major energy fuels and issues related to electricity, transportation, and the environment. The International Energy Outlook 2001 (IEO2001) presents the Energy Information Administration (EIA) outlook for world energy markets to 2020. Current trends in world energy markets are discussed in this chapter, followed by a presentation of the IEO2001 projections for energyconsumption by primary energy source and for carbon emissions by fossil fuel. Uncertainty in the forecast is highlighted by an examination of alternative assumptions about economic growth and their impacts on the

Industrial Revolutions and Consumption: A Common Model to the Various Periods of Industrialization and establish a plausible link between consumption structure evolutions and industrial revolutions. In particular, we show that an industrial revolution starts with a "smithian growth process", which is demand

Energy Information Administration/Manufacturing Consumption of Energy 1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas restructuring, gas pipelines were opened to multiple users. Manufacturers or their representatives could go directly to the wellhead to purchase their natural gas, arrange the transportation, and have the natural gas delivered either by the local distribution company or directly through a connecting pipeline. More recently, the electricity markets have been undergoing change. When Congress passed the Energy Policy Act of 1992, requirements were included not only to open access to the ownership of electricity generation, but also to open access to the transmission lines so that wholesale trade in electricity would be possible. Now several States, including California and

...Transit and EnergyConsumption In a recent issue...D.C. 20418 The Diesel's Advantages It...p. 517). The diesel car, while it has...Other types of engine can be made to meet...catalysts by using leaded fuel because it is 3 to...politically unpopular. The diesel car requires no add-on...

A program for Linear Energy Optimization (LEO...) which was used to investigate thermodynamical and technical options of reducing the energy-consumption of industrialized countries is extended to handle the cost ...

Manufacturing Manufacturing EnergyConsumption Survey Forms Form EIA-846A (4-6-95) U.S. Department of Commerce Bureau of the Census Acting as Collecting and Compiling Agent For 1994 MANUFACTURING ENERGYCONSUMPTION SURVEY Public reporting burden for this collection of information is estimated to average 9 hours per response, including the time of reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to the Energy Information Administration, Office of Statistical Standards, EI-73, 1707 H-Street, NW, Washington, DC 20585; and to the Office of Information and Regulatory Affairs, Office of

Household Vehicles EnergyConsumption 1994 reports on the results of the 1994 Residential Transportation EnergyConsumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

Monitoring EnergyConsumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energyconsumptionenergyconsumption in both standby and active modes is the basis of wireless networks. Energy preserving

Reduced EnergyConsumption for Melting in Foundries Ph.D. Thesis by SĂ¸ren Skov-Hansen Supervisor-melted, and hence reduce the energyconsumption for melting in foundries. Traditional gating systems are known

ConsumptionConsumption Annual Energy Outlook 2008 (Early Release) EnergyConsumption Total primary energyconsumption in the AEO2008 reference case increases at an average rate of 0.9 percent per year, from 100.0 quadrillion Btu in 2006 to 123.8 quadrillion Btu in 2030Â—7.4 quadrillion Btu less than in the AEO2007 reference case. In 2030, the levels of consumption projected for liquid fuels, natural gas, and coal are all lower in the AEO2008 reference case than in the AEO2007 reference case. Among the most important factors resulting in lower total energy demand in the AEO2008 reference case are lower economic growth, higher energy prices, greater use of more efficient appliances, and slower growth in energy-intensive industries. Figure 2. Delivered energyconsumption by sector, 1980-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800.

This case study is the latest in a series on industrial firms who are implementing energy efficient technologies and system improvements into their manufacturing processes. The case studies document the activities, savings, and lessons learned on these projects.

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EnergyConsumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energyconsumption by this type of equipment over the years, research

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation EnergyConsumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

68 68 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278068 Varnish cache server UK EnergyConsumption by Sector Dataset Summary Description The energyconsumption data consists of five spreadsheets: "overall data tables" plus energyconsumption data for each of the following sectors: transport, domestic, industrial and service. Each of the five spreadsheets contains a page of commentary and interpretation. In addition, a user guide is available as a supplement to the full set of spreadsheets to explain the technical concepts and vocabulary found within EnergyConsumption in the UK (http://www.decc.gov.uk/assets/decc/Statistics/publications/ecuk/272-ecuk-user-guide.pdf). EnergyConsumption in the United Kingdom is an annual publication currently published by the UK Department of Energy and Climate Change (DECC) for varying time periods, generally 1970 to 2009 (though some time periods are shorter).

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

Presents a summary of the nation’s renewable energyconsumption in 2010 along with detailed historical data on renewable energyconsumption by energy source and end-use sector. Data presented also includes renewable energyconsumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and state. The report covers the period from 2006 through 2010.

3 3 Energy Information Administration/Manufacturing Consumption of Energy 1994 Glossary Anthracite: A hard, black, lustrous coal containing a high percentage of fixed carbon and a low percentage of volatile matter. Often referred to as hard coal. Barrel: A volumetric unit of measure equivalent to 42 U.S. gallons. Biomass: Organic nonfossil material of biological origin constituting a renewable energy source. Bituminous Coal: A dense, black coal, often with well-defined bands of bright and dull material, with a moisture content usually less than 20 percent. Often referred to as soft coal. It is the most common coal. Blast Furnace: A shaft furnace in which solid fuel (coke) is burned with an air blast to smelt ore in a continuous operation. Blast Furnace Gas: The waste combustible gas generated in a blast furnace when iron ore is being reduced with coke to

Public perceptions of energyconsumption and savings Shahzeen Z. Attaria,1 , Michael L. De consumption and savings for a variety of household, transportation, and recycling activities. When asked, with 98% of US emissions attributed to energyconsumption (2). According to Pacala and Socolow (3

This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential EnergyConsumption Survey; more than 7,000 households were surveyed for information on their housing units, energyconsumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energyconsumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energyconsumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

Survey Design, Survey Design, Implementation, and Estimates 411 Energy Information Administration/Manufacturing Consumption of Energy 1994 Overview of Changes from Previous Surveys Sample Design. The MECS has increased its sample size by roughly 40 percent since the 1991 survey, increasing the designed sample size from 16,054 establishments to 22,922. This increase in size and change in sampling criteria required a departure from using the Annual Survey of Manufactures (ASM) as the MECS sampling frame. For 1994, establishments were selected directly from the 1992 Census of Manufactures (CM) mail file, updated by 1993 ASM. Sample Frame Coverage. The coverage in the 1994 MECS is 98 percent of the manufacturing population as measured in total payroll. The sampling process itself provided that level of coverage, and no special adjustments were

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C C Quality of the Data Appendix C Quality of the Data Introduction This appendix discusses several issues relating to the quality of the Residential Transportation EnergyConsumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses under- coverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1991 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1991 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics published in this report such as total

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

, the mobile industry continues to look for ways to reduce energy needs. Air conditioning is being replaced by fans or passive air flows whenever possible. Several programs are aiming to deploy solar, wind countries by 2012. Network optimization upgrades currently can reduce energyconsumption by 44% and solar

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2008 Industrial Demand Module The NEMS Industrial Demand Module estimates energyconsumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module projects energyconsumption at the four Census region level (see Figure 5); energyconsumption at the Census Division level is estimated by allocating the Census region projection using the SEDS1 data.

With world energy demand on the rise and greenhouse gas levels breaking new records each year, lowering energyconsumption and improving energy efficiency has become vital. MIT, in a mission to help improve the global ...

Manufacturing EnergyConsumption Survey (MECS) Manufacturing EnergyConsumption Survey (MECS) Glossary â€ş FAQS â€ş Overview Data 2010 2006 2002 1998 1994 1991 Archive Analysis & Projections MECS Industry Analysis Briefs Steel Industry Analysis The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of construction, transportation, manufacturing, and a variety of consumer products. It is the backbone of bridges, skyscrapers, railroads, automobiles, and appliances. Most grades of steel used today - particularly high-strength steels that are lighter and more versatile - were not available a decade ago. Chemical Industry Analysis The chemical industries are a cornerstone of the U.S. economy, converting raw materials such as oil, natural gas, air, water, metals, and minerals

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This document provides annual time series estimates of State-level energyconsumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energyconsumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

272 272 The National Interim EnergyConsumption Survey: Exploring the Variability in EnergyConsumption July 1981 U.S. Department of EnergyEnergy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Industrial Data Systems Division This publication is available from the Superintendent of Documents, U.S. Government Printing Office, at the following address: Superintendent of Documents U.S. Government Printing Office Washington, D.C. 20402 Order Desk: (202) 783-3238 Stock Number: 061-003-00205-6 Price: $4.25 For questions on energy statistics or information on availability of other EIA publications, contact: National Energy Information Center, El-20 Forrestal Building U.S. Department of Energy Washington, D.C. 20585

The industry sector accounts for more than a third of global final energyconsumption and nearly the same share of global energy-related CO2...emissions. Compared with other sectors, however, industrialenergy mo...

, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. This analysis uses electricity and natural gas energyconsumption and area data of manufacturing plants available in the U.S. Department...

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

The NEMS Industrial Demand Module estimates energyconsumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The energy-intensive industries are modeled through the use of a detailed process flow accounting procedure, whereas the nonenergy-intensive and the nonmanufacturing industries are modeled with substantially less detail (Table 14). The Industrial Demand Module forecasts energyconsumption at the four Census region levels; energyconsumption at the Census Division level is allocated by using the SEDS24 data.

EnergyConsumption by End-Use Sector EnergyConsumption by End-Use Sector International Energy Outlook 2007 Chapter 2 - EnergyConsumption by End-Use Sector In the IEO2007 projections, end-use energyconsumption depends on resource endowment, economic growth, and other political, social, and demographic factors.. One way of looking at the future of world energy markets is to consider trends in energyconsumption at the end-use sector level. With the exception of the transportation sector, which is dominated by petroleum-based liquids products at present, the mix of energy use in the residential, commercial, and industrial sectors varies widely by region, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social,

This report investigates the state of the US textile industry in terms of energyconsumption and conservation. Specific objectives were: To update and verify energy and materials consumption data at the various process levels in 1984; to determine the potential energy savings attainable with current (1984), state-of-the-art, and future production practices and technologies (2010); and to identify new areas of research and development opportunity that will enable these potential future savings to be achieved. Results of this study concluded that in the year 2010, there is a potential to save between 34% and 53% of the energy used in current production practices, dependent on the projected technology mix. RandD needs and opportunities were identified for the industry in three categories: process modification, basic research, and improved housekeeping practices that reduce energyconsumption. Potential RandD candidates for DOE involvement with the private sector were assessed and selected from the identified list.

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Uncertainties in EnergyConsumption Introduced by Building Operations and Weather for a Medium between predicted and actual building energyconsumption can be attributed to uncertainties introduced in energyconsumption due to actual weather and building operational practices, using a simulation

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

With the development of the economy, civilian construction in the Changjiang River delta region is rapidly expanding. The boom in the construction industry definitely results in that the proportion of building energyconsumption to whole energy...

Molten metal processing is inherently energy intensive and roughly 25% of the cost of die-cast products can be traced to some form of energyconsumption [1]. The obvious major energy requirements are for melting and holding molten alloy in preparation for casting. The proper selection and maintenance of melting and holding equipment are clearly important factors in minimizing energyconsumption in die-casting operations [2]. In addition to energyconsumption, furnace selection also influences metal loss due to oxidation, metal quality, and maintenance requirements. Other important factors influencing energyconsumption in a die-casting facility include geographic location, alloy(s) cast, starting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting machine, related equipment (robots, trim presses), and downstream processing (machining, plating, assembly, etc.). Each of these factors also may influence the casting quality and productivity of a die-casting enterprise. In a die-casting enterprise, decisions regarding these issues are made frequently and are based on a large number of factors. Therefore, it is not surprising that energyconsumption can vary significantly from one die-casting enterprise to the next, and within a single enterprise as function of time.

Consumption Trends Consumption Trends Data centers can consume up to 100 times more energy than a standard office building. Often, less than 15% of original source energy is used for the information technology equipment within a data center. Figure 1 outlines typical data center energyconsumption ratios. An illustration that features a graphic of a coal container representing 100 units of coal. This enters a graphic of a power plant, where those 100 units of coal are turned into 35 units of energy. The 35 units of energy are distributed by power lines, represented by a graphic of power lines, where 33 units are delivered to a pie chart representing data typical data center energy end use. The data center pie chart features 48% representing server load and computing operation consumption; 43% representing cooling equipment consumption; and 9% representing power conversion and distribution consumption.

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Cost of Natural Gas Used in Manufacturing Sector Has Fallen Graph showing Cost of Natural Gas Used in Manufacturing Sector Has Fallen Source: U.S. Energy Information Administration, Manufacturing EnergyConsumption Survey (MECS) 1998-2010, September 6, 2013. New 2010 Manufacturing EnergyConsumption Survey (MECS) Data Released â€ş Graph showing total U.S. manufacturing energyconsumption for all purposes has declined 17 percent from 2002 to 2010. Source: U.S. Energy Information Administration, Manufacturing EnergyConsumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010, March 19, 2013. First Estimates from 2010 Manufacturing EnergyConsumption Survey (MECS) Released â€ş

Relationship of CBECS Coverage to EIA Supply Surveys Relationship of CBECS Coverage to EIA Supply Surveys The primary purpose of the CBECS is to collect accurate statistics of energyconsumption by individual buildings. EIA also collects data on total energy supply (sales). For the information on sales totals, a different reporting system is used for each fuel and the boundaries between the different sectors (e.g., residential, commercial, industrial) are drawn differently for each fuel. Background EIA sales data on the different fuels are compiled in individual fuel reports. Annual electricity sales data are currently collected on Form EIA-861, "Annual Electric Utility Report," which is sent to all electric utilities in the United States. Supply data for natural gas are collected on Form EIA-176, "Annual Report of Natural and Supplemental Gas

RECS Terminology RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial," "Residential," and "Other" Suppliers' definitions of these terms vary from supplier to supplier and from the definitions used in the Residential EnergyConsumption Survey (RECS). In addition, the same customer may be classified differently by each of its energy suppliers. Adequacy of Insulation: The respondent's perception of the adequacy of the housing unit's insulation. Aggregate Ratio: The ratio of two population aggregates (totals). For

Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building EnergyConsumption Survey.

Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

The EmPOWER Maryland Energy Efficiency Act of 2008 sets the statewide goal of a 15% reduction in both electricity and peak demand by 2015. This policy initiative was motivated by several factors, which include, but are not limited to, electricity rate increases, a potential capacity shortage, and concerns about CO2 emissions and climate change. The goals set forth by the governor and state legislature correlated closely to DOE’s Better Buildings, Better Plants program goal of reducing energy intensity in the industrial sector 25% in 10 years. For the past several years, Maryland has participated in efforts to reduce energyconsumption in the state. As part of these efforts, industrial customers are recognizing more and more the importance of energy efficiency. Maryland was clearly a suitable candidate to take part in activities related to industrialenergy efficiency, and the Better Buildings, Better Plants approach is one of the most proven means for delivering results to industry.

This next slide shows what fuels are used in the residential market. When a This next slide shows what fuels are used in the residential market. When a energy supply event happens, particularly severe winter weather, it is this sector that the government becomes most concerned about. As you can see, natural gas is very important to the residential sector not only in DC, MD and VA but in the United States as well. DC residents use more natural gas for home heating than do MD and VA. While residents use heating oil in all three states, this fuel plays an important role in MD and VA. Note: kerosene is included in the distillate category because it is an important fuel to rural households in MD and VA. MD and VA rely more on electricity than DC. Both MD and VA use propane as well. While there are some similarities in this chart, it is interesting to note

How Will Buildings Be Selected for the 2012 CBECS? How Will Buildings Be Selected for the 2012 CBECS? Background and Overview Did You Know? In the CBECS, commercial refers to any structure that is neither residential, manufacturing/ industrial, nor agricultural. Building refers to a structure that is totally enclosed by walls that extend from the foundation to the roof. Data collection for the 2012 Commercial Buildings EnergyConsumption Survey (CBECS) will begin in April 2013, collecting data for reference year 2012. The goal of the CBECS is to provide basic statistical information about energyconsumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings. The 2003 CBECS estimated that there were 4.9 million commercial buildings in the US. Because it would be completely impractical and prohibitively

The Energy Utilization Index, energyconsumption per square foot of floor area, is the most commonly used index of building energyconsumption. However, a building or facility exists solely to support the activities of its occupants. Floor area...

EnergyConsumption Characteriation of Heterogeneous Servers Xiao Zhang School of Computer Science Machine between servers to save energy. An accurate energyconsumption model is the basic of energy management. Most past studies show that energyconsumption has linear relation with resource utilization. We

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, , Energy Information Administration/Household Vehicles EnergyConsumption 1994 ix Household Vehicles EnergyConsumption 1994 presents statistics about energy-related characteristics of highway vehicles available for personal use by members of U.S. households. The data were collected in the 1994 Residential Transportation EnergyConsumption Survey, the final cycle in a series of nationwide energyconsumption surveys conducted during the 1980's and 1990's by the Energy Information Administrations. Engines Became More Powerful . . . Percent Distribution of Total Residential Vehicle Fleet by Number of Cylinders, 1988 and 1994 Percent Distribution of Vehicle Fleet by Engine Size, 1988 and 1994 Percent Percent 4 cyl Less than 2.50 liters 6 cyl 2.50- 4.49 liters 8 cyl 4.50 liters or greater 20 20 40 40 Vehicle

Program Areas Â» Data Center Energy Efficiency Â» Data Center Program Areas Â» Data Center Energy Efficiency Â» Data Center EnergyConsumption Trends Data Center EnergyConsumption Trends October 8, 2013 - 10:09am Addthis Data centers can consume up to 100 times more energy than a standard office building. Often, less than 15% of original source energy is used for the information technology equipment within a data center. Figure 1 outlines typical data center energyconsumption ratios. An illustration that features a graphic of a coal container representing 100 units of coal. This enters a graphic of a power plant, where those 100 units of coal are turned into 35 units of energy. The 35 units of energy are distributed by power lines, represented by a graphic of power lines, where 33 units are delivered to a pie chart representing data typical data center energy end use. The data center pie chart features 48% representing server load and computing operation consumption; 43% representing cooling equipment consumption; and 9% representing power conversion and distribution consumption.

Nonelectric Use by Energy Use Sector and Nonelectric Use by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description This dataset provides annual renewable energyconsumption (in quadrillion Btu) for nonelectric use in the United States by energy use sector and energy source between 2004 and 2008. The data was compiled and published by EIA; the spreadsheet provides more details about specific sources for data used in the analysis. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords Commercial Electric Power Industrial Nonelectric Renewable EnergyConsumption Residential transportation Data application/vnd.ms-excel icon 2008_RE.Consumption.for_.Non-Elec.Gen_EIA.Aug_.2010.xls (xls, 27.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

Manufacturing > Derived Annual Estimates - Executive Summary Manufacturing > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing EnergyConsumption, 1974-1988 Figure showing Derived Estimates Executive Summary This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the U.S. economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982-84 and 1986-87. For the purposes of this report, "purchased" energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the U.S. Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing EnergyConsumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as "offsite-produced fuels." The completed annual series for 1974 to 1988 developed in this report links the ASM and MECS "offsite" series, estimating for the missing years. Estimates are provided for the manufacturing sector as a whole and at the two-digit Standard Industrial Classification (SIC) level for total energyconsumption and for the consumption of individual fuels. There are no direct sources of data for the missing years (1982-1984 and 1986-1987). To derive consumption estimates, a comparison was made between the ASM, MECS, and other economic series to see whether there were any good predictors for the missing data. Various estimation schemes were analyzed to fill in the gaps in data after 1981 by trying to match known data for the 1974 to 1981 period.

On the EnergyConsumption and Performance of Systems Software Zhichao Li, Radu Grosu, Priya Sehgal {zhicli,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energyconsumption that can balance out performance and energy use. This paper considers the energyconsumption

to either minimize the total energyconsumption or minimize the energy-delay product. The impact of staticOn the Interplay of Parallelization, Program Performance, and EnergyConsumption Sangyeun Cho through parallel execution of applications, suppressing the power and energyconsumption remains an even

an inventory of existing databases related to industry in Canada. CIEEDAC is strategically working towards publications include: enerInfo Industrial (newsletter, published 3 times annually) An Inventory of Energy in Canadian Oil Refineries, 1990, 1994 to the current year Detailed reports on energyconsumption

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Consumption, Social Capital, and the “Industrious Revolution” in Early Modern Germany SHEILAGH OGILVIE Faculty of Economics, University of Cambridge Acknowledgements: I am grateful to Marco Belfanti, André... ; labour; discrimination; gender; Germany 1 Expanding market consumption is widely ascribed a key role in European economic growth before industrialization. A “Consumer Revolution” between 1650 and 1800 is thought to have seen the middle classes...

Energy efficient design, operation and maintenance of compressed air systems in industrial plants can provide substantial reductions in electric power and other operational costs. This guidebook will help identify cost effective, energy efficiency opportunities in compressed air system design, re-design, operation and maintenance. The guidebook provides: (1) a broad overview of industrial compressed air systems, (2) methods for estimating compressed air consumption and projected air savings, (3) a description of applicable, generic energy conservation measures, and, (4) a review of some compressed air system demonstration projects that have taken place over the last two years. The primary audience for this guidebook includes plant maintenance supervisors, plant engineers, plant managers and others interested in energy management of industrial compressed air systems.

On the EnergyConsumption and Performance of Systems Software Appears in the proceedings of the 4th,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energyconsumption and performance are necessary to understand and identify system. This paper considers the energyconsumption and performance of servers running a relatively simple file

EnergyConsumption in Coded Queues for Wireless Information Exchange Jasper Goseling, Richard J customers. We use this relation to ob- tain bounds on the energyconsumption in a wireless information, for example, from the observations in [3] that using network coding can reduce the energyconsumption

Minimizing EnergyConsumption in Body Sensor Networks via Convex Optimization Sidharth Nabar energyconsumption while limiting the latency in data transfer. In this paper, we focus on polling energyconsumption and latency. We show that this problem can be posed as a geometric program, which

Energino: a Hardware and Software Solution for EnergyConsumption Monitoring Karina Gomez, Roberto.granelli@disi.unitn.it Abstract--Accurate measurement of energyconsumption of practical wireless deployments is vital in the availability of affordable and scalable energyconsumption monitoring tools for the research community

Reducing the EnergyConsumption of Mobile Applications Behind the Scenes Young-Woo Kwon and Eli, an increasing number of perfective maintenance tasks are concerned with optimizing energyconsumption. However, optimizing a mobile application to reduce its energyconsumption is non-trivial due to the highly volatile

1 Optimization of Energy and Water Consumption in CornÂ­based Ethanol Plants Elvis Ahmetovi). First, we review the major alternatives in the optimization of energyconsumption and its impact for the water streams. We show that minimizing energyconsumption leads to process water networks with minimum

Automated Analysis of Performance and EnergyConsumption for Cloud Applications Feifei Chen, John providers is thus to develop resource provisioning and management solutions at minimum energyconsumption system performance and energyconsumption patterns in complex cloud systems is imperative to achieve

The Impact of Distributed Programming Abstractions on Application EnergyConsumption Young-Woo Kwon of their energyconsumption patterns. By varying the abstractions with the rest of the functionality fixed, we measure and analyze the impact of distributed programming abstractions on application energyconsumption

This project describes the electricity demand and energyconsumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

The IEO2000 projections indicate continued growth in world energy use, including large increases for the developing economies of Asia and South America. Energy resources are thought to be adequate to support the growth expected through 2020. The IEO2000 projections indicate continued growth in world energy use, including large increases for the developing economies of Asia and South America. Energy resources are thought to be adequate to support the growth expected through 2020. Current Trends Influencing World Energy Demand Changing world events and their effects on world energy markets shape the long-term view of trends in energy demand. Several developments in 1999Â—shifting short-term world oil markets, the recovery of developing Asian markets, and a faster than expected recovery in the economies of the former Soviet UnionÂ— are reflected in the projections presented in this yearÂ’s International Energy Outlook 2000 (IEO2000). In 1998, oil prices reached 20-year lows as a result of oil surpluses

The design of industrial buildings today is still largely unaffected by energy legislation and building technologies. The present corporate tax structures for industry do little to encourage investment of capital for future operating cost savings...

A data-driven approach for minimization of the energy to air condition a typical office-type facility is presented. Eight data-mining algorithms are applied to model the nonlinear relationship among energyconsumption, control settings (supply air temperature and supply air static pressure), and a set of uncontrollable parameters. The multiple-linear perceptron (MLP) ensemble outperforms other models tested in this research, and therefore it is selected to model a chiller, a pump, a fan, and a reheat device. These four models are integrated into an energy optimization model with two decision variables, the setpoint of the supply air temperature and the static pressure in the air handling unit. The model is solved with a particle swarm optimization algorithm. The optimization results have demonstrated the total energy consumed by the heating, ventilation, and air-conditioning system is reduced by over 7%.

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2007 Industrial Demand Module The NEMS Industrial Demand Module estimates energyconsumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energyconsumption at the four Census region level (see Figure 5); energyconsumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS25 data.

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EPRI's INDUSTRIALENERGY MANAGEMENT PROGRAM ED MERGENS MANAGER EPRI's CHEMICALS & PETROLEUM OFFICE HOUSTON, TEXAS ABSTRACT The loss of American industry jobs to foreign competition is made worse by national concerns over fuels combustion... and other industrial activity effects on our environment. Energy efficiency programs and new electrical processes can playa major role in restoring the environment and in creating a stronger industrial sector in the national economy. Since 1984...

world.gif (5615 bytes) world.gif (5615 bytes) The IEO99 projections indicate substantial growth in world energy use,including substantial increases for the developing economies of Asia and South America. Resource availability is not expected to limit the growth of energy markets. In 1998, expectations for economic growth and energy market performance in many areas of the world were dashed. The Asian economic crisis proved to be deeper and more persistent than originally anticipated, and the threat and reality of spillover effects grew through the year. Oil prices crashed. RussiaÂ’s economy collapsed. Economic and social problems intensified in energy- exporting countries and in emerging economies of Asia and South America. Deepening recession in Japan made recovery more difficult in Asia

industrial demand module (IDM) forecasts energyconsumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energyconsumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrialenergy demand is projected as a combination of Â“bottom upÂ” characterizations of the energy-using technology and Â“top downÂ” econometric estimates of behavior. The influence of energy prices on industrialenergyconsumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based Â“technology possibility curves.Â” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

modulate to match a reduced load. For example, assume a building has a 20% load reduction. If it is a reheat system, then there is tco much supply air. What can be done? Law Investment - Slow fan by 20%, save almost 50% in fan horsepower, eliminate... modulate to match a reduced load. For example, assume a building has a 20% load reduction. If it is a reheat system, then there is tco much supply air. What can be done? Law Investment - Slow fan by 20%, save almost 50% in fan horsepower, eliminate...

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About the MECS About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Early-release estimates from the 2010 MECS show that energyconsumption in the manufacturing sector decreased between 2006 and 2010 MECS 2006-2010 - Release date: March 28, 2012 Energyconsumption in the U.S. manufacturing sector fell from 21,098 trillion Btu (tBtu) in 2006 to 19,062 tBtu in 2010, a decline of almost 10 percent, based on preliminary estimates released from the 2010 Manufacturing EnergyConsumption Survey (MECS). This decline continues the downward trend in manufacturing energy use since the 1998 MECS report.

Industrial Plant Industrial Plant Certification Professional Engineers' Guide for Validating Statements of Energy Performance Office of Air and Radiation Climate Protection Partnerships Division June 2013 ii Introduction The U.S. Environmental Protection Agency's ENERGY STAR program provides guidance, tools, and recognition to help companies improve the energy performance of their facilities and strengthen the effectiveness of their energy management program. Through ENERGY STAR, the U.S. Environmental Protection Agency (EPA) offers a number of forms of recognition, including certification for facility energy efficiency. ENERGY STAR certification for industrial plants recognizes individual manufacturing plants whose

Comleted Copy in PDF Format Comleted Copy in PDF Format Related Links Annual Energy Outlook 2001 Supplemental Data to the AEO 2001 NEMS Conference To Forecasting Home Page EIA Homepage Industrial Demand Module The NEMS Industrial Demand Module estimates energyconsumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The

Oil Consumption by Fuel and Sector Oil Consumption by Fuel and Sector Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to oil and other petroleum products. Included here are two oil consumption datasets: quarterly petrol consumption by sector (agriculture, forestry and fishing; industrial; commercial; residential; transport industry; and international transport), from 1974 to 2010; and oil consumption by fuel type (petrol, diesel, fuel oil, aviation fuels, LPG, and other), also for the years 1974 through 2010. The full 2010 Energy Data File is available: http://www.med.govt.nz/upload/73585/EDF%202010.pdf. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 02nd, 2010 (4 years ago)

;3 depend on imports of crude oil, natural gas, and coal for their industrial and residential energy needs). A decline in energy use does not, under conditions of economic efficiency, result in a reduction in economic1 EnergyConsumption and Economic Growth Â­ The Case of Australia Hong To a, * , Albert Wijeweera

) located in Conroe, Texas. The facility manufactures a specialty chemical product, Soltex® Additive, which is used in drilling mud. The plant is ISO 9001 certified and is one of CPChem’s smallest production facilities, representing less than 1... evaluated, with viable ones prioritized, developed, and implemented. • The successes of the Drilling Specialties plant will be shared with other Chevron Phillips facilities within the context of the company’s Energy Best Practice Team. ESL-IE-14...

& Expenditures > Executive Summary & Expenditures > Executive Summary 1992 Consumption & Expenditures Executive Summary Commercial Buildings EnergyConsumption and Expenditures 1992 presents statistics about the amount of energy consumed in commercial buildings and the corresponding expenditures for that energy. These data are based on the 1992 Commercial Buildings EnergyConsumption Survey (CBECS), a national energy survey of buildings in the commercial sector, conducted by the Energy Information Administration (EIA) of the U.S. Department of Energy. Figure ES1. EnergyConsumption is Commercial Buidings by Energy Source, 1992 EnergyConsumption: In 1992, the 4.8 million commercial buildings in the United States consumed 5.5 quadrillion Btu of electricity, natural gas, fuel oil, and district heat. Of those 5.5 quadrillion Btu, consumption of site electricity accounted for 2.6 quadrillion Btu, or 48.0 percent, and consumption of natural gas accounted for 2.2 quadrillion Btu, or 39.6 percent. Fuel oil consumption made up 0.3 quadrillion Btu, or 4.0 percent of the total, while consumption of district heat made up 0.4 quadrillion Btu, or 7.9 percent of energyconsumption in that sector. When the energy losses that occur at the electricity generating plants are included, the overall energy consumed by commercial buildings increases to about 10.8 quadrillion Btu (Figure ES1).

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Consumption and Expenditures Tables Table C1. Total EnergyConsumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels................................................................................................... 145 Table C6. Expenditures by Census Region for Sum of Major Fuels......................... 150 Table C7. Consumption and Gross Energy Intensity by Building Size for Sum of

Past energy-consumption trends and future energy-conservation opportunities are investigated for the nation's iron and steel industry. It is estimated that, in 1980, the industry directly consumed approximately 2.46 x 10/sup 15/ Btu of energy (roughly 3% of total US energyconsumption) to produce 111 million tons of raw steel and to ship 84 million tons of steel products. Direct plus indirect consumption is estimated to be about 3.1 x 10/sup 15/ Btu. Of the set of conservation technologies identified, most are judged to be ready for commercialization if and when the industry's capital formation and profitability problems are solved and the gradual predicted increase in energy prices reduces the payback periods to acceptable levels.

Elster July 12, 2010 Reply to DOE Request for Information of May 11, 2010 Elster July 12, 2010 Reply to DOE Request for Information of May 11, 2010 regarding Data Privacy The DOE questions are restated followed by an answer. Please note that this matter is also related to the May 11, 2010 RFI on needs for utility communications. If data is provided to third parties there is a data processing and communications cost that depends on how many parties data is provided to and by how often data is communicated. These costs are minimized if an in-home display and/or smart thermostat are provided data directly from a smart meter. (1) Q. Who owns energyconsumption data? A. Typically by state law the consumer owns the data. (2) Q. Who should be entitled to privacy protections relating to energy information? A. The consumer.

IndustrialEnergy Efficiency Basics IndustrialEnergy Efficiency Basics IndustrialEnergy Efficiency Basics The industrial sector is vital to the U.S. economy, but at the same time consumes the most energy in the country to manufacture products we use every day. Among the most energy-intensive industries are aluminum, chemicals, forest product, glass, metal casting, mining, petroleum refining, and steel. The energy supply chain begins with electricity, steam, natural gas, coal, and other fuels supplied to a manufacturing plant from off-site power plants, gas companies, and fuel distributors. Energy then flows to either a central energy generation utility system or is distributed immediately for direct use. Energy is then processed using a variety of highly energy-intensive systems, including steam, process heating, and

The need for sound energy management is no longer worthy of debate. Action is necessary and much is being done by U.S. industry. Unfortunately, however, the majority of the work is being done by the few large energy intensive industries throughout...

This report examines the aluminum industry's technology in energy use and emissions control. Data on consumption and pollution levels are presented. A history of the aluminum industry in the Pacific Northwest, its role in providing power reserves, and how that role fits into the present power situation are given. The Northwest Power Act, the rates the industry will probably pay as a result of the Act, the implications of those rates to the industry, as well as the availability of federal power to the industry are discussed. Finally, the Act's effects on the relative competitiveness of the industry in both domestic and world markets are examined.

Abstract Energy efficiency has developed into an important objective for industrial enterprises. However, there is still a need for systematic approaches to reduce energyconsumption in factories. Existing methods focus on the optimization of manufacturing processes and lack upon considering the entire factory system. Additionally, they are based on a detailed quantitative analysis of processes and thus, they need a high effort during the phase of data acquisition. Therefore, an approach for reducing energyconsumption by providing energy efficiency measures to factory planning participants was developed in order to overcome these barriers. The general approach is described in this paper and supported with a use case that demonstrates the required information and possible outcomes in terms of energy efficiency information. Main advantages of this approach are reducing the effort to acquire energy data and the possibility to consider the factory system holistically.

Introduction This appendix discusses several issues relating to the quality of the Residential Transportation EnergyConsumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses undercoverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1994 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1994 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics

This paper investigates the relationship analysis between biomass energyconsumption and economic growth by using Autoregressive Distributed Lag (ARDL) bounds testing approach of cointegration and vector error-correction models. The cointegration test results show that there is cointegration between the biomasss energyconsumption and the economic growth in five of the seven countries (Bolivia Brazil Chile Colombia and Guatemala) and there is no cointegration between the biomasss energyconsumption and the economic growth in two of the seven countries (Argentina and Jamaica).

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...possibility of converting industrialenergy demand to electricity, and...decarbonization of the whole energy system using wind, biomass, solar power in deserts and...one-third of the world's energyconsumption [1]; most of...

Reducing Network EnergyConsumption via Sleeping and Rate-Adaptation Sergiu Nedevschi Lucian Popa of two forms of power management schemes that reduce the energyconsumption of networks. The first the energy consumed when actively processing packets. For real-world traffic workloads and topologies and us

Statistical Mechanics of Money, Income, Debt, and EnergyConsumption Physics Colloquium Presented in financial markets. Globally, data analysis of energyconsumption per capita around the world shows@american.edu Similarly to the probability distribution of energy in physics, the probability distribution of money among

Bounds on the EnergyConsumption of Computational Kernels Andrew Gearhart Electrical Engineering Fall 2014 #12;Bounds on the EnergyConsumption of Computational Kernels Copyright 2014 by Andrew Scott, little consideration was given to the potential energy efficiency of algorithms them- selves. A dominant

GreenSlot: Scheduling EnergyConsumption in Green Datacenters ĂŤĂ±igo Goiri UPC/BSC and Rutgers Univ grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energyconsumption while meet- ing the jobs

Challenge Challenge for Industry Professional Engineers' Guide for Validating Statements of Energy Improvement Office of Air and Radiation Climate Protection Partnerships Division May 2013 Revised ii Introduction The U.S. Environmental Protection Agency's (U.S. EPA) ENERGY STAR program provides guidance, tools, and recognition to help companies improve their energy performance. ENERGY STAR is a voluntary partnership program that companies choose to join. Through ENERGY STAR, U.S. EPA offers a number of forms of recognition for achievements in energy efficiency. The ENERGY STAR Challenge for Industry recognizes individual industrial sites for achieving a 10 percent reduction in energy intensity within 5 years from the conclusion of an established baseline. To be

EnergyConsumption and Energy Sources - Part 1 EnergyConsumption and Energy Sources - Part 1 Part 2. Energy Intensity Data Tables Total EnergyConsumptionConsumption by Energy Source Background: Site and Primary Energy Trends in EnergyConsumption and Energy Sources Part 1. EnergyConsumption The CBECS collects energyconsumption statistics from energy suppliers for four major energy sourcesÂ—electricity, natural gas, fuel oil, and district heatÂ—and collects information from the sampled buildings on the use of the four major sources and other energy sources (e.g., district chilled water, solar, wood). Energy consumed in commercial buildings is a significant fraction of that consumed in all end-use sectors. In 2000, about 17 percent of total energy was consumed in the commercial sector. Total EnergyConsumption

Energy Use in the Australian Manufacturing Industry: An Analysis of Energy Demand Elasticity Chris in this paper. Energyconsumption data was sourced from the Bureau of Resources and Energy Economics' Australian Energy Statistics publication. Price and income data were sourced from the Australian Bureau

2002 Manufacturing EnergyConsumption Survey: User-Needs Survey 2002 Manufacturing EnergyConsumption Survey: User-Needs Survey View current results. We need your help in designing the next Â“ EnergyConsumption SurveyÂ” (MECS)! As our valued customer, you are in an important position to tell us what kinds of data are most useful in helping you understand energyconsumption in the U.S. manufacturing sector. Below is a short electronic survey with just a few questions. We will stop collecting responses for user feedback on May 17, 2002. This deadline serves to meet our intended release date of April/May 2003 for fielding MECS2002. The MECS is designed to produce estimates of energyconsumption and other energy-related activities in manufacturing. The survey also collects information on energy expenditures, average prices, onsite generation of

Home > Households, Buildings & Industry > Commercial Buildings EnergyConsumption Survey (CBECS) > 2003 Detailed Tables > What is an RSE? What is an RSE? The estimates in the Commercial Buildings EnergyConsumption Survey (CBECS) are based on data reported by representatives of a statistically-designed subset of the entire commercial building population in the United States, or a "sample". Consequently, the estimates differ from the true population values. However, the sample design permits us to estimate the sampling error in each value. It is important to understand: CBECS estimates should not be considered as finite point estimates, but as estimates with some associated error in each direction. The standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100.

The U.S. Environmental Protection Agency is exploring options to sponsor an industrialenergy efficiency benchmarking study to identify facility specific, cost-effective best practices and technologies. Such a study could help develop a common...

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About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets â€ş graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energyconsumption and characteristics August 19, 2013 All 48 related articles â€ş Other End Use Surveys Commercial Buildings - CBECS Manufacturing - MECS Transportation About the RECS EIA administers the Residential EnergyConsumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage

Manufacturing EnergyConsumption Data Show Large Reductions in Both Manufacturing EnergyConsumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010 MECS 2010 - Release date: March 19, 2013 Total energyconsumption in the manufacturing sector decreased by 17 percent from 2002 to 2010 (Figure 1), according to data from the U.S. Energy Information Administration's (EIA) Manufacturing EnergyConsumption Survey (MECS). line chart:air conditioning in U.S. Manufacturing gross output decreased by only 3 percent over the same period. Taken together, these data indicate a significant decline in the amount of energy used per unit of gross manufacturing output. The significant decline in energy intensity reflects both improvements in energy efficiency and changes in

A separate abstract was prepared for each of the 60 papers included in this volume, all of which will appear in Energy Research Abstracts (ERA); 21 were selected for Energy Abstracts for Policy Analysis (EAPA). (MCW)

A separate abstract was prepared for each of the 55 papers presented in this volume, all of which will appear in Energy Research Abstracts (ERA); 18 were selected for Energy Abstracts for Policy Analysis (EAPA). (MCW)

Industry Leaders Saving EnergyIndustry Leaders Saving EnergyIndustry Leaders Saving Energy May 6, 2010 - 11:35am Addthis Joshua DeLung Companies such as 3M, Intel, PepsiCo and Whirlpool are participating in the Energy Department's Save Energy Now LEADER initiative, committing to reducing their energy use by 25 percent or more in 10 years. Another established company participating in the program, AT&T, is also making that commitment to saving energy while producing more renewable power at many of its locations across the country."We're taking meaningful steps to run a more-efficient network and explore alternative and renewable energy use," John Schinter, director of energy for AT&T Services, Inc., says. The company utilizes wind and solar power at some of its buildings. In

Extending battery life on mobile devices has become an important topic recently due to the increasing frequency of smartphone adoption. A primary component of smart phone energyconsumption is the apps that run on these devices. Many apps have embedded ... Keywords: Advertising, Software EnergyConsumption

Modular Exponentiation Algorithm Analysis for EnergyConsumption and Performance Lin Zhong lzhong of their complexity, parallelism and latency. Insights are found for tradeoff between energyconsumption of a tree structure. For example, Figure 1.3 shows to add 5 k-bit integers together in a tree sequence. It

This paper presents an analysis of the energyconsumption of photovoltaic-powered rural dwellings in a representative region of Spain. We have measured the actual consumed electrical energy in several dwelling...

D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential EnergyConsumption Survey Answers to Frequently Asked Questions About the Household Bottled Gas (LPG or Propane) Usage Form What is the purpose of the Residential EnergyConsumption Survey? The Residential EnergyConsumption Survey (RECS) collects data on energyconsumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

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EnergyConsumption Reduction with Low Computational Needs in Multicore Systems with Energy rules) in order to decrease the energyconsumption. We proposed in a previous paper a robust control of the energyconsumption. I. INTRODUCTION An energy-performance tradeoff is required in many em- bedded

Models for Optimization of EnergyConsumption of Pumps in a Wastewater Processing Plant Zijun Zhang in the wastewater preliminary treatment process is discussed. Data- mining algorithms are utilized to develop pump performance models based on industrial data collected at a municipal wastewater processing plant

The statistic data of energyconsumption are the base of analyzing energyconsumption. The scientific management method of energyconsumption data and the development of database management system plays an important role in building energy...

United States United States Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 10, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energyconsumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA EnergyConsumption United States Data application/vnd.ms-excel icon AEO2011: EnergyConsumption by Sector and Source - United States- Reference Case (xls, 298.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

The U.S.'s 10 most energy-intensive industries are continuing to reduce their energy demand, with the chemical industry emerging as a leader in industrialenergy conservation, says the Department of Energy in a report to Congress.The chemical industry is ...

Department Turns Up the Heat and Power on IndustrialEnergy Department Turns Up the Heat and Power on IndustrialEnergy Efficiency Energy Department Turns Up the Heat and Power on IndustrialEnergy Efficiency March 13, 2013 - 12:19pm Addthis Learn how combined heat and power could strengthen U.S. manufacturing competitiveness, lower energyconsumption and reduce harmful emissions. | Infographic courtesy of Sarah Gerrity, Energy Department. Learn how combined heat and power could strengthen U.S. manufacturing competitiveness, lower energyconsumption and reduce harmful emissions. | Infographic courtesy of Sarah Gerrity, Energy Department. Katrina Pielli Senior Policy Advisor, Office of Energy Efficiency and Renewable Energy What is Combined Heat and Power? Often called cogeneration or CHP, a combined heat and power system

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets â€ş 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energyconsumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years

EnergyBox: A Trace-driven Tool for Data Transmission EnergyConsumption Studies Ekhiotz Jon Vergara-awareness and propose EnergyBox, a tool that provides accurate and repeatable en- ergy consumption studies for 3G and WiFi transmissions at the user end. We recognize that the energyconsumption of data transmission is highly

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EnergyConsumption by Fuel Type, 1970-2020 EnergyConsumption by Fuel Type, 1970-2020 Source: EIA, International Energy Outlook 2000 Previous slide Next slide Back to first slide View graphic version Notes: Natural gas is projected to be the fastest-growing component of primary world energyconsumption, more than doubling between 1997 and 2020. Gas accounts for the largest increment in electricity generation (41 percent of the total increment of energy used for electricity generation). Combined-cycle gas turbine power plants offer some of the highest commercially available plant efficiencies, and natural gas is environmentally attractive because it emits less sulfur dioxide, carbon dioxide, and particulate matter than does oil or coal. In the IEO2000 projection, world natural gas consumption reaches the level of coal by

The high ambient temperature of the Canadian Standards Association (CSA) and the AHAM/DOE Refrigerator-Freezer EnergyConsumption Standards is intended to compensate for the lack of door openings and other heat loads. Recently published results by Meier and Jansky (1993) indicate labeled consumption overpredicting typical field consumption by 15%. In-house field studies on conventional models showed labeled consumption overpredicting by about 22%. The Refrigerator-Freezer Technology Assessment (RFTA) test was developed to more accurately predict field consumption. This test has ambient temperature and humidity, door openings, and condensation control set at levels intended to typify Canadian household conditions. It also assesses consumption at exactly defined compartment rating temperatures. Ten conventional and energy-efficient production models were laboratory tested. The RFTA results were about 30% lower than labeled. Similarly, the four innovative refrigerator-freezer models, when field tested, also had an average of 30% lower consumption than labeled. Thus, the results of the limited testing suggest that the RFTA test may be a more accurate predictor of field use. Further testing with a larger sample is recommended. Experimental results also indicated that some innovative models could save up to 50% of the energyconsumption compared with similar conventional units. The technologies that contributed to this performance included dual compressors, more efficient compressors and fan motors, off-state refrigerant control valve, fuzzy logic control, and thicker insulation. The larger savings were on limited production models, for which additional production engineering is required for full marketability.

BURNING BURIED SUNSHINE: HUMAN CONSUMPTION OF ANCIENT SOLAR ENERGY JEFFREY S. DUKES Department of as a vast store of solar energy from which society meets >80% of its current energy needs. Here, using of ancient solar energy decline, humans are likely to use an increasing share of modern solar resources. I

July 2011 Vol. XV No.2 The Global Seafood Industry: A Perspective on Consumption and Supply Florida. These resulting campaigns (e.g., dolphin-safe tuna, Give Swordfish a Break) aim to affect the seafood demand and lead to a sustainable seafood supply. Although there are indicators of some regional successes, lack

...Energy, Washington, DC). Available at http://apps1.eere.energy.gov/buildings/publications/pdfs/ssl...Efficiency and Renewable Energy. Available at: http://apps1.eere.energy.gov/consumer/your_home/appliances/index...

and district heating scheme* data. Year EnergyConsumption (KWh) Percentage Change 2005/06 65,916,243 N/A 2006 buildings are connected to the Nottingham District Heating Scheme. This service meets all the heating

An analysis is performed to investigate the signatures of different parameters on the heating and cooling energyconsumption of typical air handling units (AHUs). The results are presented in graphic format. HVAC simulation engineers can use...

Total United States energyconsumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential EnergyConsumption Survey (RECS). The average household consumed 90 million British thermal units (Btu) in 2009 based on RECS. This continues the downward trend in average residential energyconsumption of the last 30 years. Despite increases in the number and the average size of homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. Newer homes also tend to feature better insulation and other characteristics, such as double-pane windows, that improve the building envelope.

A statistical analysis was performed to determine the effect of efficiency on the total US energyconsumption of automobiles and refrigerators. Review of literature shows that there are many different opinions regarding ...

Carbon Carbon Capture and Storage from Industrial Sources Carbon Capture and Storage from Industrial Sources In 2009, the industrial sector accounted for slightly more than one-quarter of total U.S. carbon dioxide (CO2) emissions of 5,405 million metric tons from energyconsumption, according to data from DOE's Energy Information Administration. In a major step forward in the fight to reduce CO2 emissions from industrial plants, DOE has allocated Recovery Act funds to more than 25 projects that capture and sequester CO2 emissions from industrial sources - such as cement plants, chemical plants, refineries, paper mills, and manufacturing facilities - into underground formations. Large-Scale Projects Three projects are aimed at testing large-scale industrial carbon capture

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Abstract In order to reduce energyconsumptions for sustainable and energy-efficient manufacturing, continuous energy audit and process tracking of industrial machines are essential. Compared to other non-residential buildings that have been widely researched, industrial buildings are generally characterized by larger thermal loads, ventilation losses and pollution control requirements. This paper presents the results of a preliminary energy audit carried out on 8 large industrial buildings of a famous car manufacturing holding in Italy. Energy demand for heating varied from 6 to just over 74 kWh/m3year among the buildings of the site. The energy audit enabled to build a specific factory energy model which has been used in order to analyze the impact of various energy saving actions on the primary energyconsumptions of the site. It has been demonstrated that in this specific case the improvement of the building envelopes and the optimization of the performances of the existing HVAC systems can determine a reduction of gas consumption up to 15% per year with a predicted annual economic saving of the order of 100000 €; the total simple pay-back time of the proposed thermal retrofitting is evaluated to be less than 6 years

How does EIA estimate energyconsumption and end uses in U.S. homes? How does EIA estimate energyconsumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential EnergyConsumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses Ă˘â‚¬" information critical to meeting future energy demand and improving efficiency and building design. RECS uses a multi-stage area probability design to select sample methodology figure A multi-stage area probability design ensures the selection

Abstract Extending Sadorsky (2010), this paper focuses on nonlinear effects of financial development and income on energyconsumption. Utilizing five alternative measures of financial development, it employs a panel threshold regression approach to reexamine the effect of financial development and income on energyconsumption. The analysis relies on a sample of 53 countries for the period 1999–2008, showing a single-threshold effect on energyconsumption when private credit, domestic credit, value of traded stocks, and stock market turnover are used as financial development indicators. It implies that the sample can be split into two regimes: high income, and non-high income. Energyconsumption increases with income in emerging market and developing economies, while in advanced economies energyconsumption increases with income beyond a point at which the economy achieves a threshold level of income. In addition, in the non–high income regime, energyconsumption increases with financial development when both private and domestic credit are used as financial development indicators. However, when the value of traded stocks and stock market turnover are used as financial development indicators, it slightly declines with financial development in advanced economies, especially in high-income countries, but increases in the higher income countries of emerging market and developing economies.

Abstract CO2 separation is an energy intensive process, which plays an important role in both energy saving and CO2 capture and storage (CCS) implementation to deal with global warming. To quantitatively investigate the energyconsumption of CO2 separation from different CO2 streams and analyze the effect of temperature, pressure and composition on energyconsumption, in this work, the theoretical energyconsumption of CO2 separation from flue gas, lime kiln gas, biogas and bio-syngas was calculated. The results show that the energyconsumption of CO2 separation from flue gas is the highest and that from biogas is the lowest, and the concentration of CO2 is the most important factor affecting the energyconsumption when the CO2 concentration is lower than 0.15 in mole fraction. Furthermore, if the CO2 captured from flue gases in CCS was replaced with that from biogases, i.e. bio-CO2, the energy saving would be equivalent to 7.31 million ton standard coal for China and 28.13 million ton standard coal globally, which corresponds to 0.30 billion US$ that can be saved for China and 1.36 billion US$ saved globally. This observation reveals the importance of trading fossil fuel-based CO2 with bio-CO2.

quality of multimedia traffic. Index Terms--Wireless Sensor Networks, Multimedia, Energy Saving, Quality on the energy saving by extending the lifetime of the network up to more than 15% while preserving video qualityNodes Placement for reducing EnergyConsumption in Multimedia Transmissions Pasquale Pace Valeria

Sample records for industry energy consumption from the National Library of Energy Beta (NLEBeta)

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is with the House n Lab at MIT, Cambridge, MA 02142 USA. in energy efficiency of portable applications. We discussUnderstanding EnergyConsumption of Sensor Enabled Applications on Mobile Phones Igor Crk, Member of this project is to measure and reduce the energy demand placed on mobile phones that monitor individuals

IndustrialEnergy Conservation in Canada is organized and promoted through a voluntary program that is administered by industry. Industry is divided into fifteen sectors, each of which is represented by a Voluntary Task Force. Information exchange...

This report assesses the potential for energy conservation in the cement industry. Energyconsumption per ton of cement decreased 20% between 1972 and 1982. During this same period, the cement industry became heavily dependent on coal and coke as its primary fuel source. Although the energy consumed per ton of cement has declined markedly in the past ten years, the industry still uses more than three and a half times the fuel that is theoretically required to produce a ton of clinker. Improving kiln thermal efficiency offers the greatest opportunity for saving fuel. Improving the efficiency of finish grinding offers the greatest potential for reducing electricity use. Technologies are currently available to the cement industry to reduce its average fuel consumption per ton by product by as much as 40% and its electricity consumption per ton by about 10%. The major impediment to adopting these technologies is the cement industry's lack of capital as a result of low or no profits in recent years.

Implementation and Rejection of Industrial Steam System Energy Efficiency Implementation and Rejection of Industrial Steam System Energy Efficiency Measures Title Implementation and Rejection of Industrial Steam System Energy Efficiency Measures Publication Type Journal Article Refereed Designation Unknown LBNL Report Number LBNL-6288E Year of Publication 2013 Authors Therkelsen, Peter L., and Aimee T. McKane Journal Energy Policy Volume 57 Start Page 318 Date Published 06/2013 Publisher Lawrence Berkeley National Laboratory Keywords industrialenergy efficiency, industrialenergy efficiency barriers, steam system efficiency Abstract Steam systems consume approximately one third of energy applied at U.S. industrial facilities. To reduce energyconsumption, steam system energy assessments have been conducted on a wide range of industry types over the course of five years through the Energy Savings Assessment (ESA) program administered by the U.S. Department of Energy (U.S. DOE). ESA energy assessments result in energy efficiency measure recommendations that are given potential energy and energy cost savings and potential implementation cost values. Saving and cost metrics that measure the impact recommended measures will have at facilities, described as percentages of facility baseline energy and energy cost, are developed from ESA data and used in analyses. Developed savings and cost metrics are examined along with implementation and rejection rates of recommended steam system energy efficiency measures. Based on analyses, implementation of steam system energy efficiency measures is driven primarily by cost metrics: payback period and measure implementation cost as a percentage of facility baseline energy cost (implementation cost percentage). Stated reasons for rejecting recommended measures are primarily based upon economic concerns. Additionally, implementation rates of measures are not only functions of savings and cost metrics, but time as well.

...efficiency for small appliances, conducted an energy audit of home, weatherized home, installed double-pane...decisions? _Yes _No Have you ever had an energy audit of your home? (A home energy audit is done to evaluate measures you can take to...

In 1980 the pulp and paper industry was the third ranking consumer of total purchased fuels and energy in the U.S. industrial sector and the highest single industry in terms of residual oil consumption. Over the past decade in response to rapidly...

Building Type Definitions Building Type Definitions In the Commercial Buildings EnergyConsumption Survey (CBECS), buildings are classified according to principal activity, which is the primary business, commerce, or function carried on within each building. Buildings used for more than one of the activities described below are assigned to the activity occupying the most floorspace at the time of the interview. Thus, a building assigned to a particular principal activity category may be used for other activities in a portion of its space or at some time during the year. In the 1999 and 2003 CBECS, respondents were asked to place their building into a sub-category that was a more specific activity than has been collected in prior surveys. This was done to ensure the quality of the data; after data collection, the subcategories were combined

The objectives of the IndustrialEnergy Conservation Program are to assist Texas industry in using energy more efficiently through seminars, workshops, technical information exchange and other supportive programs with the goal of conserving at least...

EnergyConsumption of Refrigerators in Ghana - Outcomes of Household EnergyConsumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Robert Van Buskirk Galen Barbose As part of activities to develop refrigerator efficiency standards regulations in Ghana, a national survey on the energyconsumption of refrigerators and refrigerator-freezers has been conducted. The survey covered 1000 households in urban, peri-urban and rural communities in various parts of the country. The survey found that, on average, refrigerators and refrigerator-freezers in Ghana use almost three times what is allowed by minimum efficiency standards in the U.S., and a few refrigerators had energy use at levels almost ten times the U.S.

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0 0 Notes: Natural gas is projected to be the fastest-growing component of primary world energyconsumption, more than doubling between 1997 and 2020. Gas accounts for the largest increment in electricity generation (41 percent of the total increment of energy used for electricity generation). Combined-cycle gas turbine power plants offer some of the highest commercially available plant efficiencies, and natural gas is environmentally attractive because it emits less sulfur dioxide, carbon dioxide, and particulate matter than does oil or coal. In the IEO2000 projection, world natural gas consumption reaches the level of coal by 2005, and by 2020 gas use exceeds coal by 29 percent. Oil currently provides a larger share of world energyconsumption than any other energy source and is expected to remain in that position

As an effort to decrease the amount of non-critical energy used on the Texas A&M campus, and to assist Dixie Narco in evaluating the efficiency of their vending machines, the Texas A&M Energy Systems Laboratory investigated the power consumption...

CBECS Terminology CBECS Terminology NOTE: This glossary is specific to the 1999 and 2003 Commercial Buildings EnergyConsumption Surveys (CBECS). CBECS glossaries for prior years can be found in the appendices of past CBECS reports. A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial," and "Residential." Suppliers' definitions of these terms vary from supplier to supplier and from the definitions used in CBECS. In addition, the same customer may be classified differently by each of its energy suppliers. Activities with Large Amounts of Hot Water: An energy-related space

Share of energy used by appliances and consumer electronics increases in Share of energy used by appliances and consumer electronics increases in U.S. homes RECS 2009 - Release date: March 28, 2011 Over the past three decades, the share of residential electricity used by appliances and electronics in U.S. homes has nearly doubled from 17 percent to 31 percent, growing from 1.77 quadrillion Btu (quads) to 3.25 quads. This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energyconsumption actually decreased from 10.58 quads to 10.55 quads, and energy use per household fell 31 percent. Federal energy efficiency standards have greatly reduced consumption for home heating Total energy use in all U.S. homes occupied as primary residences decreased slightly from 10.58 quads in 1978 to 10.55 quads in 2005 as reported by the

Few models attempt to assess and project household energyconsumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energyconsumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energyconsumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

Few models attempt to assess and project household energyconsumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energyconsumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energyconsumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

A Parallel Statistical Learning Approach to the Prediction of Building EnergyConsumption Based consumption of buildings based on historical performances is an important approach to achieve energyconsumption plays an important role in the total energyconsumption of end use. Energy efficiency in building

Mixed-Criticality Multiprocessor Real-Time Systems: EnergyConsumption vs Deadline Misses Vincent that using the best compromise, the energyconsumption can be reduced up to 17% while the percentage the energyconsumption of MC systems. The energyconsumption of embedded real-time systems is indeed

uFLIP: Understanding the EnergyConsumption of Flash Devices Matias BjĂ¸rling IT University Abstract Understanding the energyconsumption of flash devices is important for two reasons. First, energy about the energyconsumption of flash devices beyond their approximate aggregate consumption (low power